mohammadasghari / UC-Berkeley-CS-294-Deep-RL
Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning
☆20Updated 6 years ago
Alternatives and similar repositories for UC-Berkeley-CS-294-Deep-RL:
Users that are interested in UC-Berkeley-CS-294-Deep-RL are comparing it to the libraries listed below
- Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch fra…☆135Updated 2 years ago
- Pytorch solutions for UC Berkeley's cs285 assignments☆128Updated 3 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆166Updated last year
- A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for l…☆155Updated 3 years ago
- ☆95Updated 4 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆78Updated 4 years ago
- Stanford CS234: Reinforcement Learning Winter 2020☆19Updated last year
- Mastering Reinforcement Learning with Python, published by Packt☆153Updated 2 years ago
- Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenA…☆24Updated 4 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆252Updated 3 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)☆121Updated last year
- Stanford CS234: Reinforcement Learning assignments and practices☆46Updated 7 months ago
- 🐲 Stanford CS234 : Reinforcement Learning☆24Updated 5 years ago
- Pytorch starter code for UC Berkeley's cs285 assignments☆71Updated 3 years ago
- Deep Reinforcement Learning with Python, Second Edition, published by Packt☆186Updated 2 years ago
- ☆39Updated 4 years ago
- My solutions to UC Berkeley CS285 (originally CS294-112, deeprlcourse) Fall 2019 assignments☆117Updated 2 years ago
- Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control☆26Updated 2 years ago
- A collection of pre-trained RL agents using Stable Baselines3☆123Updated 4 months ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆85Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)☆146Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆218Updated 2 years ago
- ☆28Updated 2 years ago
- Berkeley CS285 2019 homework solution☆30Updated last year
- Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math☆404Updated 3 years ago
- Implementation of fundamental concepts and algorithms for reinforcement learning☆15Updated 4 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆69Updated 5 years ago
- PyTorch 1.x Reinforcement Learning Cookbook, published by Packt☆97Updated 2 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆215Updated last month
- From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..☆223Updated 8 months ago